Study on Traffic Control of Single Intersection Based on Rough Set

Abstract:

On the basis of actuated control method, the number of car arrived of the current phase and the number of car arrived of the next phase are considered altogether. It is decided to prolong the green time of the current phase according to the relationship of the number of cars arrived of the current phase and the next phase. The experience and principle of traffic control are described as knowledge here. The entire condition of intersection is consisted from classified arrived car number. The knowledge face to the controlling of isolate intersection is applied in the space of intersection state. Then a rough set is formed. Finally, signal control rule set face to every situation is made after some work was done to make one condition corresponding to one action of signal control. The results of simulation indicates that the total stop delay of cars of this signal control method based on rough set reduces 23.1% averagely than the fixed-time approach and reduces 9.5% averagely than the actuated approach in the same condition.

• Periodical: Applied Mechanics and Materials (Volumes 513-517)
• Pages: 3644-3650
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.513-517.3644
• Online since: February 2014
• Authors: Xiang Jun Cheng*
• Keywords: Rough Set (RS), Rule of Control, Traffic Signal Control, Traffic Simulation, Urban Traffic

References

[1] Zhang X Z, Wu M D. Application of Rough Set Approach in Fuzzy Control of Traffic Intersection[J], Fuzzy Systems and Mathematics, 2004, 18(5): 358-361.

[2] Li J, Huang D R. Traffic flow optimal control model in intelligent transport systems: rough neural network approach[J]．Computer Engineering and Application Computer Engineering and Application, 2008, 44(19): 215-219.

[3] Zheng M Z. Traffic Signal Control Decision-making Based on Rough Set[J]. Communications Technology, 2010, 43(4): 225-227.

[4] Yang Licai, Jia Lei. A Fussy Modeling Method Using Rough Sets and its Applications to Intelligent Transportation Systems[C], Proceedings of the SIh World Congress on Intelligent Control and Automation, June 15-19. 2004, Hangzhou. P.R. China. Pp: 5338-5341.

DOI: 10.1109/wcica.2004.1343745

[5] Pan Wei, Yi Jinhui, San Ye. Rough set theory and its application in the intelligent systems[C], Proceedings of the 7th World Congress on Intelligent Control and Automation June 25 - 27, 2008, Chongqing, China. Pp: 3706-3711.

DOI: 10.1109/wcica.2008.4593519

[6] Miao D Q, Li D G. Rough Sets Theory, Algorithms and Applications[M]. Press of Tsinghua University, (2008).